Control Principle of Motor Units in Neuro-Muscular Systems

神经肌肉系统运动单位的控制原理

• 批准号: 10680787
• 负责人: FUTAMI Ryoko
• 金额: $ 2.05万
• 依托单位: Tohoku University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1998
• 资助国家: 日本
• 起止时间: 1998 至 2000
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-10680787/
• 关键词: Muscle model; sarcoplasmic reticulum; calcium ion; wavelet; Multiresolution analysis; Cluster Analysis; waveform decomposition; Action potential; 筋収縮ダイナミクス; カルシウムイオン濃度; potentiation; catch-like effect; モデル; 機能的電気刺激; 筋; 運動単位; 筋活動電位; 疲労; c

To make the FES-restoration of paralyzed motor function more rational, it is required that the nonlinear and time-variant muscle contraction dynamics is modeled. We built an activation model with emphasis on the calcium liberation from and re-sequestration into the sarcoplasmic reticulum, including calcium-induced calcium release. The model had two stable equilibrium points in the calcium concentration. Changes from the low to the high equilibrium point could be produced by high frequency trains of input pulses and would account for the potentiation. The model also showed a catch-like effect, as a long-lasting increment of muscle force after the application of single pulse.We also developed a method for detecting nerve action potentials (APs) from noisy signals. This method can be applied to the decomposition of electro-myograms, which are the population of action potentials from motor units. Multiresolution analysis was used for detecting APs under low SNR condition. Multivariate analysis was used to estimate single-unit activity from multi-unit activity recordings. APs produced by an individual unit have a characteristic waveform depending on factors such as the size of the fiber and the distance between the fiber and the recording electrode. Therefore, APs were classified into each unit based on their waveforms.

为了使FES对瘫痪运动功能的恢复更加合理，需要对非线性、时变的肌肉收缩动力学进行建模。我们建立了一个激活模型，重点是钙释放和重新封存到肌浆网，包括钙诱导的钙释放。该模型在钙浓度上有两个稳定的平衡点。从低平衡点到高平衡点的变化可以由输入脉冲的高频序列产生，并且可以解释增强作用。该模型还表现出一种类似捕捉的效果，作为一个长期的肌肉力量的增加后，施加单脉冲。我们还开发了一种方法，从噪声信号中检测神经动作电位（AP）。这种方法可以应用于肌电的分解，肌电是运动单位的动作电位的群体。多分辨率分析用于低信噪比条件下的AP检测。使用多变量分析来估计来自多单元活动记录的单单元活动。由单个单元产生的AP具有取决于诸如光纤尺寸和光纤与记录电极之间的距离等因素的特征波形。因此，AP根据其波形被分类到每个单元中。

项目成果

G.H.Otazu, T.Watanabe, R.Futami, N.Hoshimiya: "A Physiologically Based Non-linear Muscle Activation Model of Variable Stimulation Frequency Response."Proceedings of the 4th Annual Conference of the International Functional Electrical Stimulation Society.

G.H.Otazu、T.Watanabe、R.Futami、N.Hoshimiya：“基于生理学的可变刺激频率响应的非线性肌肉激活模型”。国际功能性电刺激学会第四届年会论文集。

H.Nakatani,T.Watanabe,S.Ohba,R.Futami,N.Hoshimiya,Y.Handa: "Automatic Classification of Nerve Action Potentials Recorded from Peripheral Nerves with Cuff Electrodes for a Closed Loop FES"Proc. 4th Annual Conf. of International FES Society. 85 (1999)

H.Nakatani、T.Watanabe、S.Ohba、R.Futami、N.Hoshimiya、Y.Handa：“使用袖带电极对闭环 FES 的周围神经记录的神经动作电位进行自动分类”Proc。

H.Nakatani, T.Watanabe, S.Ohba, R.Futami, N.Hoshimiya, Y.Handa: "Automatic Classification of Nerve Action Potentials Recorded from Peripheral Nerves with Cuff Electrodes for a Closed-Loop Functional Electrical Stimulation System."Proceedings of the 4th An

H.Nakatani、T.Watanabe、S.Ohba、R.Futami、N.Hoshimiya、Y.Handa：“使用袖带电极对闭环功能性电刺激系统的周围神经记录的神经动作电位进行自动分类。”论文集

GH.Otazu,T.Watanabe,R.Futami,N.Hoshimiya: "A Physiologically Based Non-linear Muscle Activation Model of Variable Stimulation Frequency Response"Proc. 4th Annual Conf. of International FES Society. 109-112 (1999)

GH.Otazu，T.Watanabe，R.Futami，N.Hoshimiya：“基于生理学的可变刺激频率响应的非线性肌肉激活模型”Proc。

嚴光文,他: "FESによる起立のための計算機モデルと刺激データ作成法の基礎検討" 医用電子と生体工学. 36・1. 22-31 (1998)

Mitsufumi Itsuku 等：“使用 FES 站立的计算机模型和刺激数据创建方法的基础研究”医疗电子和生物工程 36・1（1998）。